Wenjie Zhang

HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis

Sep 25, 2026

SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs

Sep 13, 2026

UniCom: A Unified Framework for Community Search and Detection via Transfer Learning

Aug 6, 2026

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation

Aug 6, 2026

Algebraic Subgraph Counting

Jun 13, 2026

WOCD: A semi-supervised method for overlapping community detection using weak cliques

Jun 11, 2026

HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning

May 20, 2026

Towards Generative Graph Matching for Graph Edit Distance Computation

May 1, 2026

GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model

May 1, 2026

EXG: Self-Evolving Agents with Experience Graphs

May 1, 2026

Data-Centric Foundations of Agentic AI

May 1, 2026

MGDN: A Graph of Graphs Neural Network for Malware Detection

Apr 30, 2026

Data in Agentic AI: A Comprehensive Survey

Apr 1, 2026

Accelerating K-Core Computation in Temporal Graphs

Mar 1, 2026

Small Shifts, Large Gains: Unlocking Traditional TSP Heuristic Guided-Sampling via Unsupervised Neural Instance Modification

Feb 1, 2026

RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning

Jan 1, 2026

Algorithmic and Learning-based Approaches to Subgraph Matching and Counting: A Survey

Jan 1, 2026

Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications

Oct 1, 2025

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN

Sep 19, 2025

Machine Learning for Graph Data Management and Query Processing

*International Conference on Very Large Data Bases (VLDB) 2025 (Tutorial)*

Sep 4, 2025

Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach

Aug 1, 2025

AIGC for Graphs: Current Techniques and Future Trends

*IEEE International Conference on Data Engineering (**ICDE**) 2025 (Tutorial)*

Mar 4, 2025

DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching

Mar 1, 2025

Covering K-Cliques in Billion-Scale Graphs

Mar 1, 2025

AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models

Feb 1, 2025

RIDA: a robust attack framework on incomplete graphs

Jan 1, 2025

Inferring gene regulatory networks by hypergraph generative model

Jan 1, 2025

Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms

Oct 1, 2024

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning

Oct 1, 2024

Bipartite Graph Analytics: Current Techniques and Future Trends

*IEEE 40th International Conference on Data Engineering (**ICDE '24**)*

May 13, 2024

Simple and Deep Graph Attention Networks

*Knowledge-Based Systems 2024*

Mar 19, 2024

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model

*Arxiv*

Mar 18, 2024

Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation

*Information Processing and Management 2024*

Jan 16, 2024

TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data

Jan 1, 2024

GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs

Jan 1, 2024

FPGN: follower prediction framework for infectious disease prevention

*World Wide Web 2023*

Sep 16, 2023

Group-based Fraud Detection Network on e-Commerce Platforms

*29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (**KDD '23**)*

Aug 4, 2023

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions

*IEEE Transactions on Knowledge and Data Engineering (**TKDE**) 2023*

Jul 24, 2023

*IEEE Transactions on Knowledge and Data Engineering (**TKDE**) 2023*

May 25, 2023

TMN: Trajectory Matching Networks for Learning Similarity Computation

*IEEE 38th International Conference on Data Engineering (**ICDE '22**)*

Mar 25, 2022

Neural Subgraph Counting with Wasserstein Estimator

*ACM Special Interest Group in Management Of Data 2022 (**SIGMOD '22**)*

Mar 8, 2022

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching

*IEEE 38th International Conference on Data Engineering (**ICDE '22**)*

Jan 18, 2022

Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs

*World Wide Web 2022*

Jan 12, 2022

Bipartite Graph Capsule Network

*World Wide Web 2022*

Jan 11, 2022

T3S: Effective Representation Learning for Trajectory Similarity Computation

*IEEE 37th International Conference on Data Engineering (**ICDE '21**)*

Jan 18, 2021

I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space

*Database Systems for Advanced Applications (**DASFAA-2020**)*

Apr 1, 2020